... freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which ... With access to professionals spanning more than 10,000 skills across AI & machine learning ...
... freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which ... With access to professionals spanning more than 10,000 skills across AI & machine learning ...
Machine Learning Engineer
Addison, TX · On-site +1
$110K - $130K/yr
... training & fine tuning foundation LLM models Knowledge of LangChain and sentence transformer frameworks Knowledge of ChatGPT4 (or comparable models) Experience applying current machine learning ...
Machine Learning Engineer
Addison, TX · On-site +1
$110K - $130K/yr
... training & fine tuning foundation LLM models Knowledge of LangChain and sentence transformer frameworks Knowledge of ChatGPT4 (or comparable models) Experience applying current machine learning ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... training, evaluation, and reporting. Design and deliver models that operate within real-world ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... training, evaluation, and reporting. Design and deliver models that operate within real-world ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... training, evaluation, and reporting. Design and deliver models that operate within real-world ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... training, evaluation, and reporting. Design and deliver models that operate within real-world ...
Machine Learning Engineer
Austin, TX · On-site
The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...
Machine Learning Engineer
Austin, TX · On-site
The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... education or training. We also believe in aligning our employees' success with the company ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... education or training. We also believe in aligning our employees' success with the company ...
Machine Learning Engineer
Frisco, TX · On-site
$140 - $190/hr
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer
Frisco, TX · On-site
$140 - $190/hr
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer, Wallet Intelligence and Machine Learning
Austin, TX · On-site
$140 - $230/hr
Take end-to-end responsibility for translating customer and security needs into machine learning solutions, from framing the problem through feature engineering, model development, training ...
Machine Learning Engineer, Wallet Intelligence and Machine Learning
Austin, TX · On-site
$140 - $230/hr
Take end-to-end responsibility for translating customer and security needs into machine learning solutions, from framing the problem through feature engineering, model development, training ...
Machine Learning Engineer
Frisco, TX · On-site
$120 - $190/hr
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer
Frisco, TX · On-site
$120 - $190/hr
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer
Frisco, TX · On-site
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer
Frisco, TX · On-site
Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade ... Contribute to our machine learning repositories and optimize models for performance, scalability ...
Machine Learning Engineer II
Irving, TX · On-site
$120 - $180/hr
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
New
Machine Learning Engineer II
Irving, TX · On-site
$120 - $180/hr
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
New
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer
Taylor, TX · On-site
$90 - $175/hr
Design and maintain end‑to‑end ML pipelines that automate feature calculation, model training ... Implement and tune machine learning models for anomaly detection and root cause analysis. * Manage ...
Machine Learning Engineer
Taylor, TX · On-site
$90 - $175/hr
Design and maintain end‑to‑end ML pipelines that automate feature calculation, model training ... Implement and tune machine learning models for anomaly detection and root cause analysis. * Manage ...
Machine Learning Engineer II
Plano, TX · On-site
Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments. * Work with DevOps teams to automate deployment processes ...
Machine Learning Engineer II
Plano, TX · On-site
Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments. * Work with DevOps teams to automate deployment processes ...
Machine Learning Researcher - PhD Intern (US)
Houston, TX · On-site
$4.5K - $5.8K/wk
Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
Machine Learning Researcher - PhD Intern (US)
Houston, TX · On-site
$4.5K - $5.8K/wk
Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
Machine Learning Engineer
Austin, TX · On-site
$170K - $250K/yr
Extensive hands-on experience building, training, and deploying ML models in production - not just ... Experience with Azure Machine Learning or a similar cloud ML platform. * Familiarity with ...
Machine Learning Engineer
Austin, TX · On-site
$170K - $250K/yr
Extensive hands-on experience building, training, and deploying ML models in production - not just ... Experience with Azure Machine Learning or a similar cloud ML platform. * Familiarity with ...
Machine Learning Tutor
San Marcos, TX · Remote
$18 - $40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
San Marcos, TX · Remote
$18 - $40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Amarillo, TX · Remote
$18 - $40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Amarillo, TX · Remote
$18 - $40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Plano, TX · Remote
$18 - $40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Plano, TX · Remote
$18 - $40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Brownsville, TX · Remote
$18 - $40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Brownsville, TX · Remote
$18 - $40/hr
Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Freelance Machine Learning Trainer information
What is the difference between Freelance Machine Learning Trainer vs Data Scientist?
| Aspect | Freelance Machine Learning Trainer | Data Scientist |
|---|---|---|
| Credentials | Typically requires a background in machine learning, data analysis, and certifications in relevant tools or programming languages | Requires a degree in data science, statistics, or related fields; often holds advanced degrees and certifications |
| Work Environment | Independent, project-based, often remote or onsite training sessions | Usually employed by companies or consulting firms, working on data analysis projects |
| Industry Usage | Used in education, corporate training, and freelance consulting | Applied in tech, finance, healthcare, and other data-driven industries |
While both roles involve working with machine learning, a Freelance Machine Learning Trainer focuses on educating others through training sessions and workshops, often independently. In contrast, a Data Scientist analyzes data to derive insights and build models within organizations. The roles differ mainly in their focus—training versus data analysis—and work environment.
What are the most commonly searched types of Machine Learning Trainer jobs in Texas?
The most popular types of Machine Learning Trainer jobs in Texas are:
What are popular job titles related to Freelance Machine Learning Trainer jobs in Texas?
For Freelance Machine Learning Trainer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Trainer jobs in Texas look for?
The top searched job categories for Freelance Machine Learning Trainer jobs in Texas are:
What cities in Texas are hiring for Freelance Machine Learning Trainer jobs?
Cities in Texas with the most Freelance Machine Learning Trainer job openings:

Full-time
Medical, Retirement, PTO
This job post has expired today. Applications are no longer accepted.
Job description
Upwork Inc.'s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.
Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.
Search & Recommendations sits at the center of how work happens on Upwork. In this role, you will lead the engineering organization responsible for building the systems that connect millions of clients and freelancers across the globe. You will shape the future of Upwork's matching platform by setting technical direction, scaling core systems, and delivering experiences that power everything from search and browse to conversational matching, agentic workflows, and emerging AI-native surfaces. This is a high-impact leadership opportunity to guide a strong engineering team while partnering closely with product, machine learning, and executive leadership on a platform central to Upwork's long-term growth.
Responsibilities- Define and drive the technical strategy for Upwork's Search & Recommendations platform, aligning engineering investments with long-term business goals, marketplace performance, and platform scalability.
- Lead, grow, and develop a high-performing organization of software and machine learning engineers, fostering a culture of ownership, inclusion, high standards, and continuous learning.
- Deliver a unified Search & Recommendations platform that powers matching experiences across client and talent journeys, including search, recommendations, conversational experiences, and agentic workflows.
- Modernize search infrastructure by guiding the migration from legacy systems to scalable, maintainable, and high-performance architectures with clear APIs, observable pipelines, and strong experimentation support.
- Partner closely with product, ML, data science, design, and senior leadership to prioritize roadmaps, navigate tradeoffs, and translate complex platform decisions into measurable business outcomes.
- Champion engineering excellence through strong practices in system reliability, latency, data integrity, responsible AI development, and operational health across critical marketplace systems.
- Establish clear operating mechanisms, metrics, and team rhythms that improve execution, support long-range planning, and track platform health, engineering effectiveness, and business impact.
- Significant experience leading engineering teams in high-scale environments, with a strong track record of delivering search, recommendations, ranking, or retrieval systems that drive meaningful business results.
- Deep technical fluency in distributed systems, data pipelines, search architecture, and modern machine learning infrastructure, with the ability to guide architecture decisions and mentor senior engineers and managers.
- Proven success leading integrated teams of software engineers and machine learning engineers while building strong partnerships across product, data science, and executive stakeholders.
- Ability to operate effectively at multiple altitudes, translating technical depth into strategic clarity and making sound decisions in ambiguous, fast-moving environments.
- Strong applied understanding of AI-native engineering workflows, including using AI to accelerate design, experimentation, and delivery while ensuring technical accuracy, responsible use, and scalable team adoption.
Come change how the world works.
At Upwork, you'll shape the future of work for a global, remote-first workforce, creating economic opportunities for professionals worldwide. While we have a physical office in Palo Alto, we currently hire full-time employees in 34 U.S. states, making it easier than ever to join our mission from wherever you call home.
Our culture is built on trust, risk-taking, customer focus, and excellence, all in service of our core mission: to create economic opportunities so people have better lives. We embrace authenticity and inclusion, encouraging everyone to bring their whole selves to work. Personal and professional growth is a priority here, supported through development programs, mentorship, and our Upwork Belonging Communities.
We're proud to offer benefits that go beyond the basics, including comprehensive medical coverage for you and your family, unlimited PTO, a 401(k) plan with matching, 12 weeks of paid parental leave, and an Employee Stock Purchase Plan. Visit our Life at Upwork page to learn more about our values, working principles, and the overall employee experience.
Ready to help shape the future of work? Check out our Careers page and follow us on LinkedIn, Facebook, Instagram, TikTok, and X to learn more about life at Upwork.
Upwork is an Equal Opportunity Employer committed to recruiting and retaining a diverse and inclusive workforce. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or other legally protected characteristics under federal, state, or local law.
Please note that a criminal background check may be required once a conditional job offer is made. Qualified applicants with arrest or conviction records will be considered in accordance with applicable law, including the California Fair Chance Act and local Fair Chance ordinances. The Company is committed to conducting an individualized assessment and giving all individuals a fair opportunity to provide relevant information or context before making any final employment decision.
We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice.
About Upwork
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2015